Improving the sensitivity of sample clustering by leveraging gene co-expression networks in variable selection.
Zixing WangF. Anthony San LucasPeng QiuYin LiuPublished in: BMC Bioinform. (2014)
Keyphrases
- variable selection
- input variables
- cross validation
- high dimensional data
- linear models
- high dimensional
- model selection
- clustering algorithm
- clustering method
- high dimensional data analysis
- dimension reduction
- gene networks
- k means
- unsupervised learning
- gene regulatory networks
- gene expression profiles
- data points
- interaction networks
- gene expression
- cluster analysis
- gene sets
- machine learning
- group lasso
- number of input variables
- artificial neural networks
- microarray data
- biomedical literature
- microarray
- text mining
- pattern recognition
- support vector
- training data
- neural network